JVPR: Bilateral Information Interaction by Joint Training for Sequence-Based Visual Place Recognition
Author:
Affiliation:
1. Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University,National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10420842/10420843/10422004.pdf?arnumber=10422004
Reference23 articles.
1. NetVLAD: CNN Architecture for Weakly Supervised Place Recognition
2. Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition
3. D2-Net: A Trainable CNN for Joint Description and Detection of Local Features
4. Unifying Deep Local and Global Features for Image Search
5. SuperGlue: Learning Feature Matching With Graph Neural Networks
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